Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology
Marketability of fresh produce is highly dependent on consumer preferences. When consumers’ standards are not met, this will lead to food wastage in the long run. Manual sorting should be replaced with IoT technology that can classify fresh products based on different parameters. However, it is a di...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/63/bioconf_sage-grace2024_01003.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850117164141379584 |
|---|---|
| author | Lazo Christian Joel Jerusalem Emmanuel Conejos Gabriel Angelo Malabanan John Ace Gallego Marianito |
| author_facet | Lazo Christian Joel Jerusalem Emmanuel Conejos Gabriel Angelo Malabanan John Ace Gallego Marianito |
| author_sort | Lazo Christian Joel |
| collection | DOAJ |
| description | Marketability of fresh produce is highly dependent on consumer preferences. When consumers’ standards are not met, this will lead to food wastage in the long run. Manual sorting should be replaced with IoT technology that can classify fresh products based on different parameters. However, it is a difficult task and can sometimes be inaccurate. In this study, the authors aim to (1) understand the key quality parameters of bell pepper, (2) establish quality control measures from planting to consuming, and (3) understand and determine the technology features and parameters in terms of hardware preference and characteristics. The study gathered three groups of respondents namely the farmers, retailers, and household consumers. The paper concludes consumer preferences within the bell pepper industry and underscores the necessity of quality control measures to uphold standards and minimize losses such as temperature-controlled storage and sorting processes through computer vision. |
| format | Article |
| id | doaj-art-0b36e61497834b77b2ee2e29bfc11647 |
| institution | OA Journals |
| issn | 2117-4458 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-0b36e61497834b77b2ee2e29bfc116472025-08-20T02:36:09ZengEDP SciencesBIO Web of Conferences2117-44582024-01-011440100310.1051/bioconf/202414401003bioconf_sage-grace2024_01003Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technologyLazo Christian Joel0Jerusalem Emmanuel1Conejos Gabriel Angelo2Malabanan John Ace3Gallego Marianito4Electronics Engineering Department, Polytechnic University of the PhilippinesElectronics Engineering Department, Polytechnic University of the PhilippinesElectronics Engineering Department, Polytechnic University of the PhilippinesElectronics Engineering Department, Polytechnic University of the PhilippinesElectronics Engineering Department, Polytechnic University of the PhilippinesMarketability of fresh produce is highly dependent on consumer preferences. When consumers’ standards are not met, this will lead to food wastage in the long run. Manual sorting should be replaced with IoT technology that can classify fresh products based on different parameters. However, it is a difficult task and can sometimes be inaccurate. In this study, the authors aim to (1) understand the key quality parameters of bell pepper, (2) establish quality control measures from planting to consuming, and (3) understand and determine the technology features and parameters in terms of hardware preference and characteristics. The study gathered three groups of respondents namely the farmers, retailers, and household consumers. The paper concludes consumer preferences within the bell pepper industry and underscores the necessity of quality control measures to uphold standards and minimize losses such as temperature-controlled storage and sorting processes through computer vision.https://www.bio-conferences.org/articles/bioconf/pdf/2024/63/bioconf_sage-grace2024_01003.pdf |
| spellingShingle | Lazo Christian Joel Jerusalem Emmanuel Conejos Gabriel Angelo Malabanan John Ace Gallego Marianito Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology BIO Web of Conferences |
| title | Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology |
| title_full | Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology |
| title_fullStr | Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology |
| title_full_unstemmed | Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology |
| title_short | Consumer quality preferences: Parameters to accelerate bell pepper imaging and classification technology |
| title_sort | consumer quality preferences parameters to accelerate bell pepper imaging and classification technology |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/63/bioconf_sage-grace2024_01003.pdf |
| work_keys_str_mv | AT lazochristianjoel consumerqualitypreferencesparameterstoacceleratebellpepperimagingandclassificationtechnology AT jerusalememmanuel consumerqualitypreferencesparameterstoacceleratebellpepperimagingandclassificationtechnology AT conejosgabrielangelo consumerqualitypreferencesparameterstoacceleratebellpepperimagingandclassificationtechnology AT malabananjohnace consumerqualitypreferencesparameterstoacceleratebellpepperimagingandclassificationtechnology AT gallegomarianito consumerqualitypreferencesparameterstoacceleratebellpepperimagingandclassificationtechnology |